As blended and online courses are becoming more prevalent, there is need for research into how digital tools might help teachers increase learner motivation and engagement in online learning. This qualitative case study explores learners' perceptions of interactive videos, with a particular focus on perceived levels of learner motivation and…

Collocations, a crucial component of language competence, remain a challenge for L2 learners across all proficiency levels. While the data-driven learning (DDL) approach has shown great potential for collocation learning from a shorter-term perspective, this study investigates its effectiveness in the long term, examining both linguistic gains and…

This paper represents a summary and discussion of the three studies presented at the morning session of the Fall 2022 JALT Vocabulary SIG. The papers, which were written by Ali Al-Hoorie, Masaki Eguchi, Derek Canning, Stuart McLean, Christopher Nicklin, and Joseph Vitta, represent a range of topics and study designs that are common in recent…

Language learner engagement, which is receiving increased attention, has predominantly focused on offline classroom contexts, while learner engagement in language Massive Open Online Courses (LMOOCs) remains under-explored. This study was conducted on a College English MOOC with the purpose of examining learner engagement and its relations with…

Hands-off data-driven learning is a data-based, student-oriented learning model characterized by inquiry and discovery. English context vocabulary teaching is the key to English teaching in colleges and an important indicator to evaluate the quality and level of college English teaching, which is a language teaching paradigm focusing on the…

This study addresses the problems in traditional English literature teaching methods for Chinese English majors, proposing a new teaching approach based on smart education concepts to enhance learning effectiveness. An evaluation of a semester-long reform in teaching methods is conducted using a quantitative methodology. The findings reveal…

The National College English Test Band 4 (CET-4) is a key test to assess the English language ability of Chinese university students, and the success rate of the test is important to improve the quality of their English learning. Artificial intelligence technology can be used to predict and explore the factors influencing the success rate. This…

This empirical investigation rigorously evaluated the teaching potential of Data-Driven Learning (DDL) for enhancing the ability of learners to apply 30 near-synonymous change-of-state verbs in two EFL Freshman English courses in a college setting across two semesters. In the study, 32 participants in the experimental group and 22 in the control…

The purpose of this study is two-fold: 1) to investigate the effects of Data-Driven Learning (DDL) framed within the Involvement Load Hypothesis (ILH) on Thai learners' use of academic collocations and 2) to examine how Thai learners utilized the involvement load (IL) components (need, search, and evaluation) to master academic collocations. It is…

With the development of big data technology, higher education is transitioning towards intelligence and ecology. University English teaching, constrained by traditional models, faces challenges such as unmet student needs, inefficient resource allocation, and insufficient teacher-student interaction. Big data, through data collection, real-time…

Playback controls or audio/video control (AVC) buttons are common in technology-enhanced listening materials but are often overlooked in CALL theorizing and research. It is unclear how language learners use AVC buttons when they independently access computer-based L2 listening materials. This qualitative case study aimed to understand how…

Learning analytics (LA) has the potential to generate new insights into the complexities of learning behaviours in language massive open online courses (LMOOCs). In LA, the collective attention model takes an ecological system view of the dynamic process of unequal participation patterns in online and flexible learning environments. In this study,…

In today's environment of growing class sizes due to the prevalence of online and e-learning systems, providing one-to-one instruction and feedback has become a challenging task for teachers. Anyhow, the dialectical integration of instruction and assessment into a seamless and dynamic activity can provide a continuous flow of assessment…

The purpose of this paper is to present a specific case of CALL task design adopting the patterns-based learning design approach. The approach provides a common framework/vocabulary for educational designers, particularly teachers, to systematically capture, articulate, make explicit, share and reuse expert knowledge of teaching and good design.…

In this study, we held a 12-hour workshop focused on training the Data-Driven Learning (DDL) approach for in-service Chinese teachers aiming to implement this pedagogy in Mandarin Chinese classrooms in the future. We analyzed data from a postworkshop questionnaire to understand how the individual-level traits of Chinese teachers (such as their…